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Assume a binomial probability distribution with n = 40 and = 0.55.
Compute the following: (Round the value for standard deviation and intermediate calculations to 2 decimal places and your final answer to 4 decimal places.)
(a) The mean and standard deviation of the random variable.
(b) The probability that X is 25 or greater
(c) The probability that X is 15 or less.
(d) The probability that X is between 15 and 25, inclusive
Consider different types of qualitative data collection and analysis methods and the ways in which they can support business decision making and strategies.
The following data show levels of fertilizer use (lbs) and wheat yield (bushels) on repeated trials on a six acre plot.
Determine the upper and lower control chart limit and the lower control chart limit for various values of the fraction defective (p) in the sample taken. Assume a 99.7 % confidence.
Using an alpha level of 0.05, please use SPSS to perform a one-way ANOVA and then determine whether the data below provide evidence for Theory A, Theory B, or Theory C. In other words, is one theory stronger than the others?
In a regression analysis involving 27 observations, the following estimated regression equation was developed.
To find out the alternate hypotheses also critical value. A truck dealer claims where a new model will give trouble free service for at least 15,000 miles.
Construct a 95% confidence interval for the proportion of people disagreeing with the statement.
It is impossible to obtain a standard error less than 2 for any sized sample.
What is an example of two variables that are likely to be correlated because they are both changing over time?
Does the regression equation account for a significant portion of the variance in the cognitive scores? Use a=.05 to evaluate the F-ratio.
In a sample of 20 men, the mean height was 178 cm. In a sample of 30 women, the mean height was 164 cm. What was the mean height for both groups put together?
Interpret a scatter diagram - Explain the relationship between the hours each student of a school spends in after school jobs each week and their grade average.
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